Data Visualization Using Plot_ly

setwd("C:/Users/cheik/Desktop/Data Viz and Stats Inference II/Data Viz/")
getwd()

## [1] "C:/Users/cheik/Desktop/Data Viz and Stats Inference II/Data Viz"

college <- read.csv("C:/Users/cheik/Desktop/Data Viz and Stats Inference II/Data Viz/Data/US_News_National_University_Rankings.csv")
head(college)

##   Rank            University      City State    Type Tuition.in.state
## 1    1  Princeton University Princeton    NJ Private            41820
## 2    2    Harvard University Cambridge    MA Private            43938
## 3    3       Yale University New Haven    CT Private            45800
## 4    4   Columbia University  New York    NY Private            51008
## 5    4   Stanford University  Stanford    CA Private            44757
## 6    4 University of Chicago   Chicago    IL Private            48253
##   Tuiition.out.of.state Enrollment Acceptance.rate..2013.
## 1                 41820       8014                    7.4
## 2                 43938      19882                    5.8
## 3                 45800      12109                    6.9
## 4                 51008      23606                    6.9
## 5                 44757      18136                    5.7
## 6                 48253      12539                    8.8
##   Freshman.retention.rate X6yr.Grad.rate Region
## 1                      98             97     NE
## 2                      97             97     NE
## 3                      99             98     NE
## 4                      99             96     NE
## 5                      98             96      W
## 6                      99             93     MW

nrow(college)

## [1] 280

library(tidyverse)

## -- Attaching packages ------------------------------------------ tidyverse 1.2.1 --

## v ggplot2 3.1.0     v purrr   0.2.5
## v tibble  2.0.1     v dplyr   0.7.8
## v tidyr   0.8.2     v stringr 1.4.0
## v readr   1.3.1     v forcats 0.3.0

## -- Conflicts --------------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(plotly)

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

groupbytype <- college %>% group_by (State, Type)  %>% 
                     summarise(n=n())

public <- groupbytype %>% filter(Type =='Public')
public <- as.data.frame(public)
public$Type <- names("Public")

private <- groupbytype %>% filter(Type =='Private')
private <- as.data.frame(private)
private$Type <- names("Private")
private

##    State  n
## 1     AZ  2
## 2     CA 14
## 3     CO  2
## 4     CT  1
## 5     DC  5
## 6     DE  1
## 7     FL  5
## 8     GA  2
## 9     IL  8
## 10    IN  1
## 11    KY  1
## 12    LA  1
## 13    MA  9
## 14    MD  1
## 15    MI  1
## 16    MN  4
## 17    MO  3
## 18    NC  2
## 19    NH  1
## 20    NJ  3
## 21    NY 15
## 22    OH  4
## 23    OK  1
## 24    PA  7
## 25    RI  1
## 26    TN  2
## 27    TX  5
## 28    UT  1
## 29    VA  1
## 30    WI  3

bystate <-merge(public,private,by="State", all.x = T ,all.y = T)

colnames(bystate) <- c("State","Public", "Private")
#bystate

             

p <- public%>% 
  plot_ly() %>%
  add_trace(x = ~State, y = ~n, type = 'bar', 
             text = "Public", textposition = 'auto',
             marker = list(color = 'rgb(158,202,225)',
                           line = list(color = 'rgb(8,48,107)', width = 1.5)))

p

p <- plot_ly(data = bystate, x = ~State, y = ~Public, type = 'bar', 
             text ="Public",
             name ="Public",
             marker = list(color = 'rgb(158,202,225)',
                           line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  add_trace(x = ~State, y = ~Private, type = 'bar', 
            text = "Private",
            name = "Private",
            marker = list(color = 'rgb(58,200,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  layout(title = "Number of Colleges (Public & Private) By State",
         barmode = 'group',
         xaxis = list(title = "State"),
         yaxis = list(title = "Count")) %>% 
  config(collaborate = FALSE, 
    displaylogo = FALSE, modeBarButtonsToRemove = list("resetScale2d", 
        "sendDataToCloud", "zoom2d", "zoomIn2d", "zoomOut2d", 
        "pan2d", "select2d", "lasso2d", "hoverClosestCartesian", 
        "hoverCompareCartesian", "hoverClosestGl2d", "hoverClosestPie", 
        "toggleHover", "resetViews", "toggleSpikelines"))

p

## Warning: Ignoring 1 observations

## Warning: Ignoring 21 observations